Dealer Performance Scoring and Enablement

In the automotive sector, two major North American manufacturers implemented a data-driven dealer performance analytics platform from Urban Science to address mounting pressure on dealer profitability and competitiveness. The manufacturers deployed the platform's financial benchmarking tools to identify underperforming dealers across their networks and provide targeted, consultative support through field managers equipped with dealer-level performance data. The initiative examined four key operational areas, including inventory alignment, traffic quality, value proposition competitiveness, and sales experience effectiveness, using near-real-time sales data covering 96% of industry transactions. The result was a network-wide profitability lift and more effective, data-driven dealer support that replaced subjective field assessments with scientific performance measurement.

In the technology channel, a cybersecurity platform provider adopted an AI-powered partner relationship management system to scale partner engagement without proportional headcount increases. By introducing AI-powered self-service solutions, the organization reduced support costs by 40% while boosting partner engagement through 24/7 access to resources, training, and deal registration tools. The platform's analytics capabilities enabled the company to segment partners by performance tier and deliver personalized enablement content based on each partner's sales history and market focus. A 2025 Cox Automotive AI Readiness Study of 537 franchise dealership leaders found that 81% of dealers believe AI is here to stay, and 63% recognize that investing in AI now is critical for long-term business success, with 60% beginning to test AI tools in marketing, sales, and service workflows.